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229
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ShareScore release 0.9.0
Dataset results
229 results for “Businesses”
Beyond busy workers: Exploring the sensitivity of inactive ants to environmental cues
<p>Dataset corresponding to the results displayed in the article "Beyond the busy workers: exploring the sensitivity of inactive ants to environmental cues"</p>
Automated vehicles and central business district parking: the effects of drop-off-travel on traffic flow and vehicle emissions
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Data from: Risky business: linking Toxoplasma gondii infection and entrepreneurship behaviours across individuals and countries
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Recipe for a busy bee: MicroRNAs in honey bee caste determination
GEO Series GSE44853. Apis mellifera. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Recipe for a busy bee: MicroRNAs in honey bee caste determination (microRNA array)
GEO Series GSE50457. Apis mellifera. 3 samples. Type: Non-coding RNA profiling by array.
NVivo files for paper on Corporate Social (ir)Responsibility and Dam Building (Journal of Business Ethics)
<p>These NVivo (.npv) files contain the coded sources in .pdf format for a paper to be submitted to the Journal of Business Ethics on 25 December 2020</p>
EXPERIENCE OF DEVELOPED COUNTRIES IN THE FORMATION OF SMALL BUSINESS
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DIRECTIONS FOR INCREASING BUSINESS AND ITS CONTRIBUTION TO GREEN ECONOMY DEVELOPMENT
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Policosanol extraction patents in six extraction routes from IP Business Intelligence of Orbit seekers (version 1.9.8)®: World and Ibero-American countries (CSV Format).
<p>These results include tables of contents in CSV format of patents, corresponding to the substance Policosanol and its six main extraction methods, in the world and in Ibero-American countries, prospected from Advanced Search and IP Business Intelligence of Orbit seekers (version 1.9.8)<sup>® </sup>(Orbit, 2013, 2015; Orbit Intelligence, 2021, 2022; Winson, 2013).</p> <p>No results were found for the Ibero-American countries, in technological route 5 - "Molecular Distillation", until October 1, 2024, reason for the absence of their respective files in PDF and CSV.</p> <p>The prospecting reports contain the following information:</p> <ol> <li>Priority numbers</li> <li>Application number</li> <li>Publication numbers</li> <li>Family numbers</li> <li>Priority dates</li> <li>Application dates</li> <li>Publication dates</li> <li>Grant date</li> <li>Expected expiry dates</li> <li>Titles</li> <li>Abstracts</li> <li>Assignees</li> <li>Inventors</li> <li>Representatives</li> <li>Key content</li> <li>Technical concepts</li> <li>Images</li> <li>Claims</li> <li>Description</li> <li>Keywords in context</li> <li>Technology domains</li> <li>Cooperative classification</li> <li>International classification</li> <li>US patent classification</li> <li>Japanese classifications</li> <li>Citing patents (forward citations)</li> <li>Citing patents - Raw information</li> <li>Cited patents (backward citations)</li> <li>Cited patents - Raw information</li> <li>Cited non-patent literature</li> <li>Legal status</li> <li>Legal actions</li> <li>Designated states</li> <li>Protected authorities</li> <li>Farliest countries</li> <li>Assignee country</li> <li>Representative country</li> <li>Inventor country</li> <li>Cited patents (backward citations) - Counts</li> <li>Citing patents (forward citations) - Counts</li> <li>Independent claims - Counts</li> <li>Dependent claims - Counts</li> <li>All claims - Counts</li> <li>Assignees - Counts</li> <li>Inventors - Counts</li> <li>Age - Counts</li> <li>Words in document - Questel semantic count</li> <li>Words in abstract - Questel semantic count</li> <li>Words in description - Questel semantic count</li> <li>WO and EP designated states - Counts</li> <li>Drawings - Counts</li> <li>US specific - Counts</li> <li>Licensing agreements - Counts</li> <li>Number of figures</li> <li>WO parent</li> <li>Number of priorities</li> <li>Licensing interest names</li> <li>Security interest names</li> <li>Referenced drug names</li> <li>WO parent</li> <li>EP parent</li> <li>Filing notes</li> <li>Filing details</li> <li>Filing language</li> <li>Litigation</li> <li>Standards</li> <li>Licence ID</li> </ol> <p>The original format of the report generated by the database was preserved.</p> <p>In order to manage the query according to specific or joint interests, the PDF files are presented separately and also gathered in a single document (with 12,200 pages). This aggregated file is organized with the results of the world appearing in first place and those of the Ibero-American countries next, both obeying the numbering order of the prospected routes, separated by the respective summaries of contents.</p>
Regression tables and data for "CEO letters: social license to operate and community involvement in the mining industry. Business Ethics: A Eur Rev. 2018"
<p>This file presents the data obtained in the regression analysis for Table 10 included in the paper: </p> <p>"CEO letters: social license to operate and community involvement in the mining industry. Business Ethics: A Eur Rev. 2018;00:1–20".</p> <p>The file also includes the data used in the analyses for each variable and code, and also count of codes used in the analyses. Data included are for both years (2011 and 2015).</p> <p>Please, cite the tables with the paper reference: de‐Miguel‐Molina B, Chirivella‐González V, García‐Ortega B. CEO letters: social license to operate and community involvement in the mining industry. Business Ethics: A Eur Rev. 2018;00:1–20. ht tps://doi.org/10.1111/beer.12205</p>
FORMATION OF A COMPETITIVE ENVIRONMENT IN THE PRACTICE OF MANAGEMENT OF SMALL BUSINESS UNITS IN THE CONDITIONS OF ECONOMY MODERNIZATION
<p><em><span>This article presents conclusions on the formation of a competitive environment in the management practice of small business entities in the context of economic modernization.</span></em></p>
Business Model Canvas defined in the paper: A model to define an eHealth technological ecosystem for caregivers
<p>Business Model Canvas as defined in the paper: "A model to define an eHealth technological ecosystem for caregivers"</p>
Results of cross-validation by Mlflow for "Can the audience understand a business process model? Using Random Forest to classify level understandability based on personal and model factors"
<p>This dataset of results contains a summary of the evaluation metrics for each fold, including information about hyperparameter tuning.</p>
Datasets for "Can the audience understand a business process model? Using Random Forest to classify level understandability based on personal and model factors"
<p>This dataset contains evaluations of understandability incorporating audience characteristics and model characteristics.<br> The dataset has been collected in two conducted experiments. Audience' data was collected using students computing science and business and management students.</p> <p>The main_dataset.csv file contains the dataset to build the predictive model.</p> <p>The final_validation_dataset.csv file contains the dataset to evaluate the performance of the predictive model.</p>
Business center p1
Photogrammetry of the business center, part 1 Use "First Person" navigation in settings for best experience. Source: Objaverse 1.0 / Sketchfab
Tobacco Control Among Business Process Outsourcing (BPO) Employees
ClinicalTrials.gov study NCT00617266. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Stress Reduction for Busy Professionals
ClinicalTrials.gov study NCT02194478. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Stocking of a Busy Emergency Department
ClinicalTrials.gov study NCT01586832. IPD Sharing: NO. Countries: 1. Publications: 0.
Mindfulness Rounds Initiative - A Short Mindfulness-Based Program for A Busy Workplace
ClinicalTrials.gov study NCT04282733. IPD Sharing: NO. Countries: 1. Publications: 0.
Businesses That Care - Zacatecas
ClinicalTrials.gov study NCT04166162. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.